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Abdulzeid Yen Anafo

Publications (4)

The Equilibrium Renewal Burr XII Distribution: Properties and Applications

Abdulzeid Yen Anafo, Lewis Brew & Suleman Nasiru · Asian Journal of Probability and Statistics · 2021

In this paper, we propose a three-parameter probability distribution called equilibrium renewal Burr XII distribution using the equilibrium renewal process. The statistical properties of the distribution such as moment, mean deviation, order statistics, moment generating function...

Open access Research Article 10.9734/ajpas/2021/v15i230349

Trends and Care Cascade Performance of Hypertension in Africa (1990–2019): A Dynamic Fractional Modelling Approach

Francis Ayiah-Mensah, Abdulzeid Yen Anafo, Frederick N Anderson, Emmanuel Mensah Baah & Emmanuel Ayitey · Asian Journal of Medical Principles and Clinical Practice · 2026

Hypertension is a major predictable contributor to cardiovascular morbidity and mortality in Africa, but the long-term trend analysis frequently uses descriptive or Gaussian-based procedures, ignoring the limited and autocorrelated character of proportionate data. The study aimed...

Open access Research Article 10.9734/ajmpcp/2026/v9i1403

Modeling Regional Trends in Caesarean Births across Ghana's Former Ten Regions over a Decade

Senyefia Bosson-Amedenu, Abdulzeid Yen Anafo, Ahmed Ouerfelli, Nabil Ouerfelli & Noureddine Ouerfelli · Asian Journal of Pregnancy and Childbirth · 2025

This study utilizes empirical modeling and statistical analysis to examine the temporal evolution of caesarean births in Ghana over the period 2008–2017. Building upon a robust linear framework augmented by an exponential component, the research probes the quasi-linear characteri...

Open access Research Article 10.9734/ajpcb/2025/v8i1186

Application of Stacked Ensemble Techniques for Classifying Recurrent Head and Neck Squamous Cell Carcinoma Prognosis

Joseph Acquah, Damianus Kofi Owusu & Abdulzeid Yen Anafo · Asian Journal of Research in Computer Science · 2024

A feature selection technique should, in theory, be able to reliably extract pertinent features, identify non-linear feature interactions, scale linearly with the number of features and dimensions, and permit the integration of known sparsity structure. Identifying a machine lear...

Open access Research Article 10.9734/ajrcos/2024/v17i4431